Jacki Farrow

Benny Bedford’s post not only touches the technical side, but also the philosophical. He doesn’t shy away from asking whether these AI behaviours are just bugs, or whether they reveal…

Tim Ngwena also explores practical use cases and what this shift could mean for analytics teams in the near future. Whether you’re setting up your first local model or refining

Even if you’re an experienced user, these “minor” adjustments can save you a lot of time and make your dashboards more polished and easier for others to understand. Plus, Kevin

For organisations that are already more mature – especially those using dbt or a well-defined warehouse, Paul Houghton explores how you can evolve toward a Medallion architecture, with raw, processed,

Pablo Gomez‘ post gives you real insight into how contributing in the community isn’t just about recognition, it’s a way to learn, grow and build meaningful connections. If you’ve ever

Gurdip Sodhi’s article blends big-picture thinking with practical implications. It prompts you to consider governance, ethics, transparency and the distribution of data’s benefits, not just the collection or analysis. If

Johan de Groot’s article is a window into a deeper data-design mindset – encouraging you to think about what your data really needs: where subtle shifts matter, when absolute values

Tristan Guillevin and Jessica Bautista have made it easy to adopt these advanced visualisations: no complicated coding or convoluted workarounds needed. With just drag-and-drop in Tableau, you can build a

Kimly Scott’s post speaks to the mindset of embracing newness: giving yourself permission to learn, to fail, to iterate. If you’ve ever held back because you didn’t feel “ready enough,”

What makes Andrew Pick’s article especially valuable is its honest analysis of where each tool shines. He argues that CRMA is ideal for quick, in-CRM insights, while Tableau Next is